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ORCID29th DASFAA 2024: Gifu, Japan - Part IV
- Makoto Onizuka
, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14853, Springer 2024, ISBN 978-981-97-5561-5
Privacy and Security
- Yifang Zhang, Mingyue Wang, Fangda Guo, Xidi Qu, Yu Guo, Shengling Wang:
OblivChain: Enabling Oblivious Queries for Blockchain Light Clients with Malicious Security. 3-19 - Qiuhao Wang, Xu Yang, Saiyu Qi, Yong Qi:
SecGraph: Towards SGX-based Efficient and Confidentiality-Preserving Graph Search. 20-36 - Jing Zhang, Siqi Li, Jiajia Li, Xiufeng Xia, Yiping Teng, Anzhen Zhang:
Privacy Protection Bottom-up Hierarchical Federated Learning with Class Imbalanced Data. 37-53 - Hui Li, Jingwen Shi, Qi Tian, Zheng Li, Yan Fu, Bingqing Shen, Yaofeng Tu:
Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework. 54-70 - Haolong Yang, Dingyuan Shi, Yuanyuan Zhang, Yi Xu, Ke Xu:
An Efficient Local Differential Privacy Approach for Trajectory Publishing with High Utility. 71-88 - Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang:
SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. 89-104 - Yilun Kuang, An Liu, Jianfeng Qu, Junhua Fang, Xiaofang Zhang, Lei Zhao:
Efficient and Secure Skyline Query Over Horizontal Data Federation. 105-121 - Zicheng Cao, Qingzhi Ma, Wei Chen, Lei Zhao, An Liu:
Segam: Secure and Efficient Group-by-Aggregation Queries across Multiple Private Database. 122-138 - Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng:
Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. 139-155 - Guoming Zhang, Xuyun Zhang, Lianyong Qi, Xiaolong Xu, Man Li, Wanchun Dou:
Spatio-Temporal Aware Next Point-of-Interest Recommendation with Privacy Preserving. 156-172 - Haoran Xie, Yujue Wang, Yong Ding, Changsong Yang, Huiyong Wang, Hai Liang:
A Verifiable Federated Learning Algorithm Supporting Distributed Pseudonym Tracking. 173-189 - Ningning Cui, Dong Wang, Yuliang Ma, Mengxiang Wang, Kang Qian, Jianxin Li:
Searching Untrusted Clouds Meets Multiple Keys: Privacy-Preserving Spatio-Textual Top-k Query. 190-209 - Mohan Gao, Peng Wu, Li Pan:
MINES: Multi-perspective API Call Sequence Behavior Fusion Malware Classification. 210-220 - Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang:
LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. 221-231 - Fengmei Jin, Boyu Ruan, Wen Hua, Lei Li, Xiaofang Zhou:
Preserving Location Privacy with Semantic-Aware Indistinguishability. 232-242 - Leilei Du, Peng Cheng, Lei Chen, Wangze Ni, Jing Zhao, Xuemin Lin:
Stable Task Assignment with Range Partition under Differential Privacy. 243-253
Knowledge Base and Graphs
- Hao Xin, Lei Chen, Yanyan Shen:
Cost-Aware Outdated Facts Correction in the Knowledge Bases. 257-272 - Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. 273-290 - Fenxuan Lin, Junjie Yao:
Inductive Type-aware Reasoning over Knowledge Graphs. 291-306 - Zhaojing Luo, Chi Zhang, Hao Wang, Jiyun Shi, Meihui Zhang:
KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction. 307-323 - Anting Li, Shisong Chen, Zhixu Li, Jianfeng Qu, Zhiang Yue, Jingping Liu:
A Hierarchy-aware Entity Alignment Method for Educational Knowledge Graphs. 324-341 - Shiqi Fan, Hongyi Nie, Ruibing Wang, Quanming Yao, Haotong Du, Yang Liu, Zhen Wang:
Relation-Entity Hybrid Learning Graph Model for Few-Shot Temporal Knowledge Graph Forecasting. 342-357 - Yushun Xie, Haiyan Wang, Le Wang, Lei Luo, Jianxin Li, Zhaoquan Gu:
Reinforced Negative Sampling for Knowledge Graph Embedding. 358-374 - Hao Xin, Lei Chen, Yanyan Shen:
PKBC: A Product-Specific Knowledge base Taxonomy Framework. 375-390 - Zhenzhen Mai, Wenjun Wang, Xueli Liu, Xiaoyang Feng, Bowen Dong:
Entity Profiling with Graph Rules. 391-407 - Xiaoyang Feng, Xueli Liu, Yajun Yang, Wenjun Wang, Jun Wang:
Learning Rules in Knowledge Graphs via Contrastive Learning. 408-424 - Mei Yu, Fan Gao, Mankun Zhao, Tianyi Xu, Jiujiang Guo, Wenbin Zhang, Dejun Hou, Ruiguo Yu:
AttFGCN: A GCN-Based Method Using Attention Flow for Knowledge Graph Completion. 425-440 - Jiahao Tang, Zhixiong Li, Jianqiang Huang:
StepTC: Stepwise Triangle Counting on GPU with Two Efficient Set Intersection Methods. 441-451 - Bo-Wei Yang, Ming-Yi Chang, Chia-Hsun Lu, Chih-Ya Shen:
Two Heads Are Better Than One: Teaching MLPs with Multiple Graph Neural Networks via Knowledge Distillation. 452-462 - Guang Wu, Xinbiao Gan:
MatchBG: A Boundary Subgraph-Based Maximal Matching Algorithm for Bipartite Graphs. 463-473 - Hanbing Zhang, Wei Zhang, Yinan Jing, Zhenying He, Kai Zhang, Shiwei Shi, X. Sean Wang:
SmartInsight: Learning-Based Automatic Insight Discovery for Exploratory Data Analysis. 474-484 - Shuaishuai Zu, Li Li, Songtao Cai, Jun Shen:
CIKT: Causality Inspired Knowledge Tracing. 485-495 - Qilong Han, Jiahang Li, Dan Lu, Lijie Li, Bingyi Xie:
Independent Embedding-Based Relational Enhancement Model for Hyper-Relational Knowledge Graph. 496-506 - Qiankun Li, Haobing Liu, Ruobing Jiang, Tingting Wang:
Incorporating Higher-order Structural Information for Graph Clustering. 507-517 - Jing Wang, Huifang Ma, Mengyuan Zhang, Zhixin Li, Liang Chang:
Time-aware Session Modeling for Knowledge Tracing. 518-527 - Weijun Xu, Fan Gao, Jinsong Su, Qingqiang Wu, Meihong Wang:
Dual-view Enhanced Knowledge Contrastive Learning for Recommendation. 528-538
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